Feasibility of EMG-based neural network controller for an upper extremity neuroprosthesis

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 17, Issue 1, 2009, Pages 80-90

  Hincapie, Juan Gabriel ^a   Kirsch, Robert F ^b,c  

^a BOSTON SCIENTIFIC CORPORATION   (United States)

^b Case Western Reserve University   (United States)

^c LOUIS STOKES CLEVELAND VA MEDICAL CENTER   (United States)

Author keywords

Functional electrical stimulation (FES); Musculoskeletal modeling; Neural prostheses; Spinal cord injury (SCI)

Indexed keywords

ARM MOVEMENTS; ARTIFICIAL NEURAL NETWORKS; FUNCTIONAL ELECTRICAL STIMULATION (FES); INVERSE DYNAMICS; MUSCLE ACTIVATIONS; MUSCULO-SKELETAL MODELS; MUSCULOSKELETAL MODELING; NEURAL NETWORK CONTROLLERS; NEURAL PROSTHESES; NEURO-PROSTHESIS; PARALYZED MUSCLES; PREDICTION ERRORS; SPINAL CORD INJURY (SCI); SYSTEM IDENTIFICATION PROCEDURES; UPPER EXTREMITIES; VOLUNTARY CONTROLS;

BACKPROPAGATION; CHEMICAL ACTIVATION; CONTROLLERS; DOSIMETRY; FUNCTIONAL ELECTRIC STIMULATION; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS; PATIENT REHABILITATION; PROSTHETICS;

MUSCLE;

ARM MOVEMENT; ARM PROSTHESIS; ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; ELECTROMYOGRAM; FUNCTIONAL ELECTRICAL STIMULATION; HAND PROSTHESIS; MODEL; MUSCLE CONTRACTION; PARALYSIS; PRIORITY JOURNAL; SIMULATION; SPINAL CORD INJURY;

ALGORITHMS; ARM; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOMECHANICS; BONE AND BONES; ELBOW; ELECTROMYOGRAPHY; FEASIBILITY STUDIES; HUMANS; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); NEURONS; POSTURE; PROSTHESES AND IMPLANTS; SHOULDER; UPPER EXTREMITY;

EID: 60249090341     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2008.2010480     Document Type: Conference Paper

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